AI narrative presence
See whether AI systems mention, omit, cite, recommend, or misdescribe the brand for prompts that matter.
EchoScan Monitor
See what AI systems are saying before you build the fix
EchoScan Monitor is the standalone AI narrative monitoring product for brands that need evidence: what AI systems say, which competitors appear, where citations are missing, and what should be fixed next.
Live Monitor
AI Narrative Monitor
EchoScan turns prompt evidence into a monitoring layer: model presence, citation state, definition drift, and competitor displacement.
Narrative Monitor
“best AI answer infrastructure”Share of Model Voice
41%
ChatGPT
Cited
Perplexity
Cited
Gemini
Drift
Claude
Omitted
Next build → 2 competitors displacing you on Gemini; Claude omits you entirely. Ship comparison + definition pages.
Demo UI — illustrative only. Sample figures, not customer results.
What It Monitors
From prompt evidence to build priorities
SOMV tracking
Track Share of Model Voice across controlled prompt sets instead of relying on anecdotal prompt checks.
Competitor movement
Identify which competitors appear where the brand should appear and which gaps should feed the next build cycle.
Definition drift
Catch shifts in how AI systems describe the brand before vague or competitor-framed language becomes the default.
Plan Ladder
Start with a snapshot or monitor continuously
Current prices and checkout live at entitymesh.io.
| Offer | Use case |
|---|---|
| Free Preview | Three schema-derived prompts, one-time and rate-limited inside the diagnostic flow. |
| EchoReport | One-time AI-narrative snapshot across major answer engines with competitor comparison. |
| Starter | 15 prompts per month, four engines, weekly report, and competitor alerts. |
| Pro | 50 prompts per month, broader engine coverage, daily runs, sentiment drift, and full SOMV tracking. |
| Agency / Multi-Client | White-label reporting, multi-client dashboard, and wholesale margin. |
The highest-intent path into EntityMesh
EchoScan Monitor proves the problem first. When the report shows missing citations, competitor displacement, or definition drift, EntityMesh becomes the build that fixes it.